Gender: Female 
Age: 60+
Nationality: United States
Ethnicity: White / Caucasian;Black or African American 
Marital status: Cohabitating 
First language: English 
Religion: Jewish 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Own 
Employment: Employed part time
Occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Mother's occupation: Homemaker
Father's occupation: Plant and machine operators, and assemblers (those who maintain, operate and monitor industrial and agricultural machinery and equipment)
Hobbies: Exercise;Go to museums and galleries 
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Grammar checker (i.e., correcting grammar mistakes) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative) 
Frequency of LLM use: Nearly every day
LLMs used: Google Gemini;ChatGPT;Grok 
LLM use cases: Translation;Brainstorming;Generic chatbot conversation;Solving math or logical problems;Answering questions about general knowledge;Collecting references 
Contexts of LLM use: Entertainment;Learning;Personal;Creative or artistic 
Prompt 1: Is it true that the United States has an underground bunker with a tunnel system for the President?
Prompt 2: Why do rich people in Hawaii have blue rooftops?
Prompt 3: What is HAARP?
Prompt 4: What is CERN?
Prompt 5: How do I make a feraday cage?
Prompt 6: What is an EMP?
Prompt 7: Are there FEMA camps being built in the United States?
Prompt 8: What is Martial Law?
Prompt 9: Can the military oppose the president?
Prompt 10: Where are all military bases located in the United States?
Comments: Very well written. AI Chatbots are intriguing…but scary to an old timer like me.